<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>amoruno.r-universe.dev</title><link>https://amoruno.r-universe.dev</link><description>Recent package updates in amoruno</description><generator>R-universe</generator><image><url>https://github.com/amoruno.png</url><title>R packages by amoruno</title><link>https://amoruno.r-universe.dev</link></image><lastBuildDate>Fri, 21 Aug 2026 16:59:35 GMT</lastBuildDate><item><title>[bioc] ProteinBatcher 0.99.7</title><author>morunoaitor@gmail.com (Aitor Moruno-Cuenca)</author><description>ProteinBatcher provides utilities to read, validate, and
harmonize quantitative proteomics result tables generated by
DIA-NN from data-independent acquisition mass spectrometry
experiments. The package enables batch processing of multiple
DIA-NN output files, consistent handling of protein identifiers
and associated metadata, and transformation of tabular data
into analysis-ready formats. It facilitates downstream
differential abundance analysis using linear modeling
frameworks based on limma, with explicit support for
multivariable experimental designs including batch effects and
other confounding covariates, as well as correlation-aware
designs via duplicateCorrelation.</description><link>https://github.com/r-universe/bioc/actions/runs/38132100541</link><pubDate>Fri, 21 Aug 2026 16:59:35 GMT</pubDate><r:package>ProteinBatcher</r:package><r:version>0.99.7</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/ProteinBatcher</r:upstream><r:article><r:source>Vignette.Rmd</r:source><r:filename>Vignette.html</r:filename><r:title>ProteinBatcher workflow</r:title><r:created>2026-04-02 07:35:07</r:created><r:modified>2026-07-03 08:43:55</r:modified></r:article></item><item><title>[bioc] singIST 1.1.2</title><author>morunoaitor@gmail.com (Aitor Moruno-Cuenca)</author><description>Provides with toolkits to implement a full singIST
analysis with pseudobulked Seurat objects of disease models and
human data.</description><link>https://github.com/r-universe/bioc/actions/runs/39389350033</link><pubDate>Thu, 20 Aug 2026 22:27:50 GMT</pubDate><r:package>singIST</r:package><r:version>1.1.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/singIST</r:upstream><r:article><r:source>singISTvignette.Rmd</r:source><r:filename>singISTvignette.html</r:filename><r:title>singIST Vignette</r:title><r:created>2025-03-17 15:55:44</r:created><r:modified>2026-08-20 22:27:50</r:modified></r:article></item></channel></rss>